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The awareness for protecting the environment has resulted in remanufacturing and recycling policies in manufacturing industries. Carbon emission is one of the most important elements affecting the environment. Carbon emission due to production and transportation creates complicated situations for the manufacturing firms by affecting the manufacturer's carbon quota. The ecological consequences posed in a reverse logistic model are the subject of this study.

The present study explores the fuzzy model of economic production for both remanufacturing and recycling with uncertain cost parameters under the cap-and-trade rule to control the carbon emission due to different modes of transportation. Due to imprecise cost parameters, the hexagonal fuzzy numbers are set to fuzzify the overall cost, which leads to correct decisions in a more confident way. The result is defuzzified by using graded mean integration.

This study offers an explicit condition to control the carbon emission of the manufacturer and reduce the optimum cost. The findings indicate that the collection of used goods that can be remanufactured must be increased. The model is validated numerically. Sensitivity analysis explores the various aspects of different parameters on net cost to accomplish the fuzzy production model.

Under fuzzy inference, the research offers a relevant contribution in the field of recycling with controlling carbon emission by using the cap-and-trade policy. This study provides a trading strategy for a manufacturer's decision to avoid losses.

Good management strives to align and corporate processes for more attention being paid to supply chain management. Firms realize that greater co-operation and improved coordination can help to manage the entire supply chain more efficiently. The imperfect quality item is one of the most important issues that affect the expected profit of green supply chain. The imprecise cost with screening process of poor quality items posed in supply chain is the subject of this study.

The present study explores production model for imperfect items having uncertain cost parameters with three-layer supply chain encompassing supplier, manufacturer and retailer. The model is considering the impact of business tactics such as order size, production rate, production cost and appropriate times in various sectors on collaborative marketing systems. Due to imprecise cost parameters, the pentagonal fuzzy numbers are set to fuzzify the total cost and defuzzifition by using graded mean integration.

This study offers an explicit condition in uncertain environment to manage the imperfect quality item to increase the potential profit of the supply chain. The influence of changes in parameter values on the optimal inventory policy under fuzziness is provided managerial insights.

This model makes a significant contribution to fuzzy inference. The results of the study provide a trading strategy for the industry to avoid losses. The prescribed study can be suitable for the industries like sculpture, jewelry, pottery, etc.

Using Gibson and Tarrant's (2010) resilience triangle model, this study explores how small northwest Himalayan organisations respond to contextual challenges and opportunities and embed sustainability strategies in the organisations' operational values.

A qualitative exploratory design through individual and group interviews with owner-managers and employees was held in five small northwest Himalayan organisations.

The findings reveal multiple contextual challenges facing small organisations in northwest Himalayas, including ecological conditions, remoteness, underdeveloped infrastructure and human competencies. The investigated organisations respond to these challenges through reactive and innovation-based services like eco-tourism, conservation and educational initiatives. The organisations engage communities through participatory and educational activities. Owner-managers adjust the respective vision and mission statements, train employees on sustainability values and lobby the government on policy changes to embed sustainability strategies. Some organisations invest in resources and capabilities and others in process capabilities.

Small organisations can improve how the organisations predict contextual issues by developing the organisations' process capabilities, specifically by creating practical tools with parameters relevant to ecological conditions. These organisations can set the tools through participatory actions with the broader communities to ensure the (un)intended consequences of environmental issues are considered. Furthermore, improvements in process and human capabilities will provide new approaches to raising business opportunities, especially in post-pandemic business environments.

This study develops a framework that enhances the understanding of how process capabilities, leadership, people and knowledge capabilities are critical to developing and embedding sustainability strategies in small organisations.